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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 10-RES-JB
    11. 23282
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    references to systems, particularly in a technical or operational context

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.hook_resid_pre
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    ghan
    -0.85
    glers
    -0.85
    tein
    -0.78
    onga
    -0.73
    ¿½
    -0.71
    ugh
    -0.71
    bow
    -0.70
    aft
    -0.69
    urous
    -0.67
    UGE
    -0.67
    POSITIVE LOGITS
    atics
    1.08
    atically
    1.06
    ctl
    1.05
    atic
    1.05
    wide
    0.98
     administrator
    0.93
     tray
    0.92
     integ
    0.90
     administrators
    0.89
     architectures
    0.79
    Activations Density 0.038%

    No Known Activations